Staff Software Engineer Delivery Logistics

Uber; Toronto; Hybrid; CAD 197,000 - 219,000; Full time

Job summary

A leading logistics technology company in Toronto is seeking an experienced software engineer to build scalable software systems handling high traffic. Candidates should have over 7 years of software engineering experience and be proficient in Java, Go, or C/C++. The role involves collaboration with machine learning engineers and data scientists throughout the entire development cycle. Competitive salary of CAD$197,000 to CAD$219,000 annually is offered along with bonuses, equity, and comprehensive benefits.

Benefits

Bonus program

Equity award

Various benefits

Qualifications

• 7+ years of experience in software engineering.
• Experience with machine learning or deep learning models preferred.

Responsibilities

• Build scalable software systems for high traffic.
• Work cross-functionally with engineers and data scientists.
• Participate in the full development cycle.

Skills

Software engineering

Machine learning

Problem-solving

Cross-functional collaboration

Education

BS or MS in Computer Science or related field

Tools

Java

Go

C/C++

Job description

About the Role

Delivery Logistics is the brain of the company, planning all of the actions that must come together to enable a magical experience for customers of Eats, as well as new verticals such as grocery, retail, Uber Direct, and Uber Connect. Our team optimizes the problem of finding the best courier at the right time for each order, a combinatorial problem with hundreds of thousands of possibilities considered every few seconds. We also train deep neural networks to predict ETAs and food preparation times and decide which orders are most efficient to batch together.

On this team, you’ll work cross-functionally with machine learning engineers, data scientists, and product managers to find ways to improve efficiency and provide a better experience for our users. You’ll participate in the full development cycle from ideation to architecture design, to implementation, to productionization. Your efforts will directly affect the company’s top and bottom lines.

What You Will Do

1. Build scalable software systems that handle some of the highest traffic of any system at the company
2. Work cross-functionally with machine learning engineers, data scientists and product managers to find ways to improve efficiency and provide a better experience for our users
3. Participate in the full development cycle from ideation to architecture design, to implementation, to productionization

Basic Qualifications

1. BS or MS in Computer Science or a related technical field, or equivalent experience
2. 7+ years of experience in software engineering
3. Experience with one of the following programming languages: Java, Go, C/C++

Preferred Qualifications

1. MS or PhD in Computer Science or a related technical field, or equivalent experience
2. Experience with productionizing machine learning or deep learning models

For Canada-based roles: Uber may use artificial intelligence (AI) tools to support parts of our recruiting process; however, Uber employees make the ultimate selection and hiring decisions. This advertisement relates to a current, existing vacancy.

For Canada-based roles: The base salary range for this role is CAD$197,000 per year - CAD$219,000 per year.

You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuelds progress. What moves us, moves the world - let’s move it forward, together.

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

*Accommodations may be available based on religious and/or medical conditions, or as required by applicable law. To request an accommodation, please reach out to [e-mail].